Overview

Dataset statistics

Number of variables5
Number of observations817
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory32.0 KiB
Average record size in memory40.2 B

Variable types

Categorical4
Text1

Dataset

Description수도권7호선에 포함된 도시광역철도역들의 철도운영기관명,선명,역명,출구번호,출구별 주요시설명 등의 데이터 입니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15073457/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:02:31.010795
Analysis finished2023-12-12 07:02:31.479677
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
서울교통공사
817 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울교통공사
2nd row서울교통공사
3rd row서울교통공사
4th row서울교통공사
5th row서울교통공사

Common Values

ValueCountFrequency (%)
서울교통공사 817
100.0%

Length

2023-12-12T16:02:31.539290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:02:31.655505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 817
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
7호선
817 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7호선
2nd row7호선
3rd row7호선
4th row7호선
5th row7호선

Common Values

ValueCountFrequency (%)
7호선 817
100.0%

Length

2023-12-12T16:02:31.775592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:02:31.874449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7호선 817
100.0%

역명
Categorical

Distinct42
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
총신대입구(이수)
 
59
대림(구로구청)
 
52
노원
 
36
건대입구
 
33
장승배기
 
30
Other values (37)
607 

Length

Max length11
Median length10
Mean length4.6927785
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장암
2nd row장암
3rd row장암
4th row장암
5th row장암

Common Values

ValueCountFrequency (%)
총신대입구(이수) 59
 
7.2%
대림(구로구청) 52
 
6.4%
노원 36
 
4.4%
건대입구 33
 
4.0%
장승배기 30
 
3.7%
고속터미널 28
 
3.4%
상봉(시외버스터미널) 28
 
3.4%
수락산 27
 
3.3%
보라매 26
 
3.2%
철산 24
 
2.9%
Other values (32) 474
58.0%

Length

2023-12-12T16:02:31.975726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총신대입구(이수 59
 
7.2%
대림(구로구청 52
 
6.4%
노원 36
 
4.4%
건대입구 33
 
4.0%
장승배기 30
 
3.7%
고속터미널 28
 
3.4%
상봉(시외버스터미널 28
 
3.4%
수락산 27
 
3.3%
보라매 26
 
3.2%
철산 24
 
2.9%
Other values (32) 474
58.0%

출구번호
Categorical

Distinct16
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
167 
2
123 
4
111 
3
102 
5
82 
Other values (11)
232 

Length

Max length3
Median length1
Mean length1.0709914
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 167
20.4%
2 123
15.1%
4 111
13.6%
3 102
12.5%
5 82
10.0%
6 70
8.6%
7 48
 
5.9%
8 39
 
4.8%
10 25
 
3.1%
9 19
 
2.3%
Other values (6) 31
 
3.8%

Length

2023-12-12T16:02:32.107955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 167
20.4%
2 123
15.1%
4 111
13.6%
3 102
12.5%
5 82
10.0%
6 70
8.6%
7 48
 
5.9%
8 39
 
4.8%
10 25
 
3.1%
9 19
 
2.3%
Other values (6) 31
 
3.8%

출구별 주요시설명
Text

Distinct722
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T16:02:32.414043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.50306
Min length2

Characters and Unicode

Total characters5313
Distinct characters345
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique642 ?
Unique (%)78.6%

Sample

1st row장암동
2nd row수락산
3rd row의정부방면
4th row포천 방면
5th row장암역환승주차장
ValueCountFrequency (%)
방면 12
 
1.3%
현대아파트 6
 
0.7%
극동아파트 5
 
0.6%
중학교 4
 
0.4%
고등학교 4
 
0.4%
한신아파트 4
 
0.4%
세종대학교 3
 
0.3%
아파트 3
 
0.3%
천주교 3
 
0.3%
외환은행 3
 
0.3%
Other values (753) 851
94.8%
2023-12-12T16:02:32.870666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 222
 
4.2%
동 204
 
3.8%
학 195
 
3.7%
소 159
 
3.0%
파 125
 
2.4%
등 124
 
2.3%
사 113
 
2.1%
초 108
 
2.0%
중 108
 
2.0%
대 89
 
1.7%
Other values (335) 3866
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4949
93.1%
Decimal Number 196
 
3.7%
Space Separator 81
 
1.5%
Other Punctuation 30
 
0.6%
Close Punctuation 16
 
0.3%
Open Punctuation 16
 
0.3%
Uppercase Letter 16
 
0.3%
Lowercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 222
 
4.5%
동 204
 
4.1%
학 195
 
3.9%
소 159
 
3.2%
파 125
 
2.5%
등 124
 
2.5%
사 113
 
2.3%
초 108
 
2.2%
중 108
 
2.2%
대 89
 
1.8%
Other values (305) 3502
70.8%
Decimal Number
ValueCountFrequency (%)
1 67
34.2%
2 46
23.5%
3 30
15.3%
4 19
 
9.7%
7 10
 
5.1%
5 7
 
3.6%
6 6
 
3.1%
9 5
 
2.6%
0 3
 
1.5%
8 3
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
I 4
25.0%
S 3
18.8%
K 2
12.5%
C 2
12.5%
T 1
 
6.2%
L 1
 
6.2%
G 1
 
6.2%
E 1
 
6.2%
W 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
k 1
25.0%
r 1
25.0%
a 1
25.0%
p 1
25.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4950
93.2%
Common 343
 
6.5%
Latin 20
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 222
 
4.5%
동 204
 
4.1%
학 195
 
3.9%
소 159
 
3.2%
파 125
 
2.5%
등 124
 
2.5%
사 113
 
2.3%
초 108
 
2.2%
중 108
 
2.2%
대 89
 
1.8%
Other values (306) 3503
70.8%
Common
ValueCountFrequency (%)
81
23.6%
1 67
19.5%
2 46
13.4%
3 30
 
8.7%
/ 30
 
8.7%
4 19
 
5.5%
) 16
 
4.7%
( 16
 
4.7%
7 10
 
2.9%
5 7
 
2.0%
Other values (6) 21
 
6.1%
Latin
ValueCountFrequency (%)
I 4
20.0%
S 3
15.0%
K 2
10.0%
C 2
10.0%
T 1
 
5.0%
L 1
 
5.0%
G 1
 
5.0%
k 1
 
5.0%
r 1
 
5.0%
a 1
 
5.0%
Other values (3) 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4949
93.1%
ASCII 363
 
6.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 222
 
4.5%
동 204
 
4.1%
학 195
 
3.9%
소 159
 
3.2%
파 125
 
2.5%
등 124
 
2.5%
사 113
 
2.3%
초 108
 
2.2%
중 108
 
2.2%
대 89
 
1.8%
Other values (305) 3502
70.8%
ASCII
ValueCountFrequency (%)
81
22.3%
1 67
18.5%
2 46
12.7%
3 30
 
8.3%
/ 30
 
8.3%
4 19
 
5.2%
) 16
 
4.4%
( 16
 
4.4%
7 10
 
2.8%
5 7
 
1.9%
Other values (19) 41
11.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Correlations

2023-12-12T16:02:32.973773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명출구번호
역명1.0000.610
출구번호0.6101.000
2023-12-12T16:02:33.110030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출구번호역명
출구번호1.0000.208
역명0.2081.000
2023-12-12T16:02:33.236199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명출구번호
역명1.0000.208
출구번호0.2081.000

Missing values

2023-12-12T16:02:31.321152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:02:31.439675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

철도운영기관명선명역명출구번호출구별 주요시설명
0서울교통공사7호선장암1장암동
1서울교통공사7호선장암1수락산
2서울교통공사7호선장암1의정부방면
3서울교통공사7호선장암1포천 방면
4서울교통공사7호선장암1장암역환승주차장
5서울교통공사7호선도봉산1도봉1동우체국
6서울교통공사7호선도봉산1도봉고등학교
7서울교통공사7호선도봉산1도봉산입구
8서울교통공사7호선도봉산1도봉산환승주차장
9서울교통공사7호선도봉산1서울가든아파트
철도운영기관명선명역명출구번호출구별 주요시설명
807서울교통공사7호선온수(성공회대입구)4유한공고
808서울교통공사7호선온수(성공회대입구)5동곡초등학교
809서울교통공사7호선온수(성공회대입구)6온수초등학교
810서울교통공사7호선온수(성공회대입구)6우신중/ 고교
811서울교통공사7호선온수(성공회대입구)7동곡초등학교
812서울교통공사7호선온수(성공회대입구)8온수초등학교
813서울교통공사7호선온수(성공회대입구)8우신고등학교
814서울교통공사7호선온수(성공회대입구)8우신중학교
815서울교통공사7호선온수(성공회대입구)8서울정진학교
816서울교통공사7호선온수(성공회대입구)8궁동종합사회복지관

Duplicate rows

Most frequently occurring

철도운영기관명선명역명출구번호출구별 주요시설명# duplicates
0서울교통공사7호선건대입구5동자초등학교2
1서울교통공사7호선건대입구5신양초등학교2